PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.
As a global leader in IT services, PwC is supported by PwC Poland’s Data, Digital Solutions & AI team. We provide first-class services in all areas of Data Platforms, Data Analytics, Data Strategy and Data Management, just to name a few of our core capabilities. We support clients in the transition to and their adoption of modern data infrastructure, creation of new business models and streamlining their operational activities.
We are looking for:
Cloud Data Engineer
Your future role:
- Building data platforms with critical components including data lakehouses, data warehouses and data lakes using tools such as Microsoft Fabric, Databricks and Azure Data Factory for data extraction, loading and transformation,
- Defining data flows across data platforms, from raw ingestion to business-ready consumption, using the most suitable data architecture patterns, such as medallion or lambda architecture,
- Designing migration plans for moving transactional and master data from legacy systems of record to new target solutions,
- Conducting comprehensive data assessments alongside Data Modelers and Analysts across multiple systems of record and data domains to identify and remediate data quality issues,
- Liaising with senior client stakeholders and supporting Senior Data Architects in gathering functional requirements and designing modern data architectures.
Apply if you have:
- At least 3 years of experience in Data Engineering roles or other relevant areas, such as Business Intelligence or Data Science,
- Hands-on experience with data transformation platforms, preferably Azure-based solutions such as Microsoft Fabric and Databricks; experience with other platforms, such as Snowflake, Azure Synapse or Google BigQuery, is also valued,
- Experience in building data warehouses, data lakes and data lakehouses using tools such as Azure Data Factory and Azure Synapse Analytics,
- Experience in writing data transformation scripts using Python, including PySpark, as well as SQL for querying databases,
- Experience with Data Engineering CI/CD practices and release management across Development, QA and Production environments using tools such as Azure DevOps and/or Jira,
- Polish and Business English proficiency at B2 level or above, including the ability to prepare technical documentation with support from a Project Manager,
- Experience with new technologies and AI-based tools demonstrated in your daily work, for example task automation, information analysis, and content creation.
Nice to have:
- Cloud certifications in Azure, AWS or Google Cloud,
- Experience in applying data modelling frameworks, including Kimball dimensional modelling, to design and build logical and physical data models,
- Interest in and initial experience with Agentic AI solutions for automating data extraction, transformation, loading and querying using services such as Azure AI Foundry, Databricks Genie or Snowflake Cortex,
- Experience in conducting data assessments across multiple data domains, including Product and Customer, and across systems of record such as ERP and CRM systems,
- Familiarity with Agile project management methodologies, such as Scrum, used to develop and scale minimum viable products,
- Exposure to Data Science and Data Analytics use cases, particularly Machine Learning and Generative AI applications supporting business forecasting and demand planning.
By joining us you gain:
- Work flexibility – hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave,
- Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops and conversations with native speaker,
- Wide medical and well-being program - a medical care package (incl. freedom of treatment, physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice,
- Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,
- 3 paid hours for volunteering per month,
- Additional paid Birthday Day off,
- And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.
Recruitment process:
- Submit your resume,
- Have a short phone conversation with our Recruiter,
- Let's get to know each other better in the interview!
PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: https://www.pwc.com/gx/en/about/office-locations/poland.html, with its registered seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy.
